Effect of marginalizing flows on rational-quadratic neural spline flows
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2020-07-31
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en
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Abstract
Rational-quadratic neural spline flows offer higher flexibility
for complex distributions than autoregressive flows with
affine coupling layers. Having an effcient analytical onepass
inverse, the flow has an advantage over masked autoregressive
flows in terms of inverse efficiency. In this thesis,
the rational-quadratic neural spline flow was implemented
with the aim to extend the flow to a marginalizing flow and
investigate the performance differences between the original
and the extended flow. In this work, we show that the implementation
was challenging and resulted in an inappropriately
performing flow. Due to the lack in performance, the usage
of marginalizing flows was obsolete at this point. In conclusion,
the implementation will need to be further developed in
order to establish marginalizing flows.
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Faculteit der Sociale Wetenschappen